Kauê Braga
Project Impacts Modeler at C40 Cities
Ceará, Brazil
Summary
👤
Senior🎓
Top SchoolKauê Braga is a Project Impacts Modeler with nine years of experience applying transportation engineering, spatial data and R-based tooling to evaluate health, equity and emissions outcomes of urban climate and mobility actions. Based in Ceará, Brazil, he combines PhD-level research with practical project delivery at C40 Cities, developing tools like the Active and Healthy City platform that produce granular 15‑minute city indicators from open public datasets. His background at IPEA and contributions to the popular geobr R/Python package demonstrate deep expertise in geoprocessing, GTFS and accessibility metrics, plus a knack for robust data preparation and character encoding fixes. He has academic experience as a visiting researcher at the University of Toronto and a track record of translating complex transportation datasets into actionable policy insights for cities. Notably, he balances rigorous modeling with ongoing city engagement—helping stakeholders interpret results and turn predefined actions into measurable health and emissions impacts.
9 years of coding experience
4 years of employment as a software developer
Graduação Sanduíche, Civil Engineering, Graduação Sanduíche, Civil Engineering at University of Nebraska at OmahaDoutorado, Transportation and Highway Engineering, Doutorado, Transportation and Highway Engineering at Universidade Federal do Ceará
Github Skills (13)
data-manipulation10
data-formats10
formatting10
data-cleaning10
data-format10
spatial-data10
r10
r-stats9
datasets9
rs9
sfc8
sfx8
python4
Programming languages (4)
Github contributions (5)
ipeaGIT/geobr
Dec 2019 - Apr 2020
Easy access to official spatial data sets of Brazil in R and Python
Role in this project:
Data Engineer
Data EngineerContributions:7 commits, 4 pushes, 3 comments in 4 months
Contributions summary:Kauê primarily focused on creating and modifying data preparation scripts within the `geobr` repository. Their contributions involved writing R code to create lookup tables, format data, and handle character encoding. They also added functions to assist with accessing and retrieving municipality information. The user demonstrated a strong understanding of data manipulation and processing techniques, with an emphasis on handling spatial data.
r-packagepythondata-setsgeographyspatial
ipeaGIT/acesso_oport
Mar 2019 - Aug 2022
IPEA - Projeto Acesso a Oportunidades
Contributions:2 releases, 512 commits, 7 PRs in 3 years 5 months
javajavascriptacessoprojeto
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